Machine Learning Engineer Jobs in Plano, TX
Machine Learning Engineer jobs in Plano, Texas are open across the metro, with employers like JPMorganChase, CarMax, and Liberty Mutual Insurance hiring at every experience level. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 20+ Machine Learning Engineer jobs
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You'll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global, multidisciplinary team.
Job responsibilities
- Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization.
- Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model behavior with business objectives and risk controls.
- Productionize high-quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.
- Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing/monitoring.
- Collaborate closely with product, platform, security, controls, and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
- Document solution designs and decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments.
- Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.
- Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
- Hands-on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations, and guardrails.
- Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.
- Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas).
- Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
- Experience designing experiments, training frameworks, and metrics aligned to business goals.
- Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).
- Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.
- Excellent communication skills, with the ability to engage senior technical and business partners.
- Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
- Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn).
- Understanding of financial services or wealth management domains.
- Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You'll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global, multidisciplinary team.
Job responsibilities
- Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization.
- Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model behavior with business objectives and risk controls.
- Productionize high-quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.
- Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing/monitoring.
- Collaborate closely with product, platform, security, controls, and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
- Document solution designs and decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments.
- Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.
- Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
- Hands-on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations, and guardrails.
- Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.
- Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas).
- Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
- Experience designing experiments, training frameworks, and metrics aligned to business goals.
- Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).
- Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.
- Excellent communication skills, with the ability to engage senior technical and business partners.
- Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
- Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn).
- Understanding of financial services or wealth management domains.
- Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 20 Machine Learning Engineer Jobs in Plano
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Find JobsMachine Learning Engineer Job Market in Plano
Who's Hiring
- JPMorganChase4
- CarMax3
- Liberty Mutual Insurance3
- USAA1
- Infosys1
Top Industries Hiring
- Banking & Financial Services5
- Fintech4
- Insurance4
- Automotive4
- Technology & Software4
Machine Learning Engineer Jobs in Plano: Frequently Asked Questions
How many machine learning engineer jobs are there in Plano?
There are 20+ machine learning engineer openings in Plano, Texas on Migrate Mate as of June 2026. New positions post regularly as Plano employers hire.
Which companies hire machine learning engineers in Plano?
Plano machine learning engineer roles are posted by JPMorganChase, CarMax, and Liberty Mutual Insurance and others right now, based on current listings on Migrate Mate as of June 2026.
Are there remote machine learning engineer jobs in Plano?
Yes. About 33% of machine learning engineer openings tied to Plano are remote or hybrid as of June 2026. The rest are on-site roles based in and around Plano.
Which industries hire the most machine learning engineers in Plano?
The sectors hiring the most machine learning engineers in Plano are Banking & Financial Services, Fintech, and Insurance, based on current listings on Migrate Mate as of June 2026.
See All 20 Machine Learning Engineer Jobs in Plano
Find roles in Plano that match your experience and apply in just a few clicks.
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